Chandramouli S's repositories
End-to-End-Movie-Recommendation-System-with-deployment-using-docker-and-kubernetes
Content Based Recommendation system uses attributes of the content to recommend similar content. It doesn't have a cold-start problem because it works through attributes or tags of the content, such as actors, genres or directors, so that new movies can be recommended right away.
MLOps_Project
An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastAPI, Kubernetes, MLflow, DVC, Prometheus, and Grafana.
LLMOps
This project(RAG) focuses on operationalizing LLMs by integrating OpenAI, MLflow, FastAPI, and RAGAS for evaluation. It allows users to deploy and manage LLMs, track model runs, and log evaluation metrics in MLflow. The project also features MLflow traces that logs all the user inputs ,responses ,retrieved contexts ,and other essential metrices.
MultiDocWebChat
MultiDocWebchat combines the functionality of a PDF document reader with a powerful QA bot for in-depth document exploration.
Car-Price-Prediction
We are required to model the price of cars with the available independent variables. It will be used by the management to understand how exactly the prices vary with the independent variables. They can accordingly manipulate the design of the cars, the business strategy etc. to meet certain price levels. Further, the model will be a good way for management to understand the pricing dynamics of a new market.
Convolutional-Neural-Network-Image-Classification-
The Convolutional Neural Network is fed and trained with images of animals and the goal here is to correctly predict the animal name which is fed in by the user for prediction
Text-Sentiment-Analysis-NLP--Inshorts-website
Predicting the sentiment of news headline and classifying it to proper news category (web scraped data from Inshorts website)
Artificial-Neural-Network
Using ANN to predict churn rate in a bank (classification) and Total Power produced by combined cycle plant in full load(regression)
Chandru-21
Config files for my GitHub profile.
House-Price-Prediction
Prediction focused on solving the problem of predicting house prices for house buyers and sellers
mlops-templates
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Recurrent-Neural-Network-LSTM--Stock-market-price-prediction
The RNN-Long Short-term memory model is fed and trained with past data and the objective here is to predict the stock price for the forthcoming days.
Twitter-Sentiment-Analysis-NLP-twitterscraper-
Predicting the sentiment of various tweets in an hashtag using text analytics techniques